Python Scripting Digital Data Engineering Practitioner
Job Description:
Role : Digital Data Engineering Practitioner Role Description : Develop analytics based solutions that produce quantitative and qualitative business insights. Work with partners as necessary to integrate systems and data quickly and effectively, regardless of technical challenges or business environments. Must have Skills : Python Scripting Good to Have Skills : R Programming Job Requirements : A-Professional Experience 1-Min 5 years of Data Science exp 2-Overall 6 to 9 years of work exp B-Responsibilities 1-Proficiency in R and Python 2-TensorFlow, Natural Language Processing preferred 3-Should have expertise in advanced analytics and in developing models using advanced analytical tools such as R and Python 4-Proven experience in regression, time series, classification, clustering, text analytics, deep learning and other machine learning artificial intelligence techniques 5-Research oriented mindset with ability to quickly learn new technologies 6-Use artificial intelligence, machine learning, data mining, predictive modelling statistical techniques to create new scalable models for business requirements 7-Perform sophisticated analysis and predictive modeling with minimal supervision 8-Understand complex business challenges, design scientific solutions, and synthesize insights while managing large datasets using machine learning or statistical modeling techniques
Company Profile
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